power.fisher: Compute power for Fisher's exact test
In FDRsamplesize2: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
power.fisher R Documentation
Compute power for Fisher's exact test
Description
Compute power for Fisher's exact test
Usage
power.fisher(p1, p2, n, alpha, alternative)
Arguments
p1
probability in one group (scalar)
p2
probability in other group (scalar)
n
per-group sample size (scalar)
alpha
p-value threshold (scalar)
alternative
one- or two-sided test, must be one of "greater", "less", or "two.sided"
Value
Power estimate for one- or two-sided tests
Examples
power.fisher(p1 = 0.5, p2 = 0.9, n=20, alpha = 0.05, alternative = 'two.sided')
FDRsamplesize2 documentation built on May 29, 2024, 7:12 a.m.
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| power.fisher | R Documentation |
Compute power for Fisher's exact test
Description
Compute power for Fisher's exact test
Usage
power.fisher(p1, p2, n, alpha, alternative)
Arguments
p1 |
probability in one group (scalar) |
p2 |
probability in other group (scalar) |
n |
per-group sample size (scalar) |
alpha |
p-value threshold (scalar) |
alternative |
one- or two-sided test, must be one of "greater", "less", or "two.sided" |
Value
Power estimate for one- or two-sided tests
Examples
power.fisher(p1 = 0.5, p2 = 0.9, n=20, alpha = 0.05, alternative = 'two.sided')
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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